[Barclays: Nvidia Turmoil and Funding Risks Won't Hinder Long-Term AI Rally; Investors Should Remain Open] BlockBeats reported on November 12th that Julian Lafarge, Chief Market Strategist at Barclays Private Bank, stated that despite the ongoing controversy surrounding Nvidia CEO Jensen Huang's future, uncertainty surrounding AI investment returns, and rising funding costs testing market confidence, investors should continue to participate in the AI rally. Lafarge believes that AI is not a bubble, but a technological revolution that will impact all industries; however, its commercialization and infrastructure development cannot be achieved overnight. Lafarge pointed out that Nvidia is known as the "central bank of AI deals," but even with a change in CEO, it doesn't mean that all deals in the entire AI industry chain need to be re-examined or negotiated. He compared the potential leadership transition at Nvidia to previous management transitions at Microsoft, Alphabet, and Amazon, arguing that succession does not necessarily weaken corporate value. However, Barclays listed interest rates and the funding environment as major risks that could disrupt the market. As investment in AI infrastructure expands, market focus is shifting from whether the demand for computing power is genuine to whether massive capital expenditures can generate sufficient returns. Data center construction also faces bottlenecks such as power access, equipment installation, and commercial operation cycles, while expectations of tighter Federal Reserve policy may push up corporate financing costs and depress long-term cash flow valuations. Lafarge emphasizes that the trillions of dollars in AI investment commitments cannot be quickly translated into actual computing power delivery, and investment returns among companies will diverge significantly. Tighter financing conditions may change the pace of industry investment and the competitive landscape, but this does not mean that long-term demand for AI infrastructure has disappeared. Barclays still prefers to maintain its AI investment exposure until there are clear signs of a slowdown in industry growth momentum. [Original Link]